Patient Satisfaction Among Liver Transplant Recipients: Single-Center Survey

Stiavetti, E.; Matteucci, R; Giannessi, Elisabetta; Ducci, J; Baldoni, L; Simone, Paolo De; Filipponi, Franco

doi:10.1016/j.transproceed.2010.05.135

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…18 Unplanned return to the operating room 18,24,25,30,36,39,70 was reported in 7 unique publications, and an additional 3 metrics (blood pressure, graft function, and hemoglobin concentration) [77][78][79][80][81][82][83] were also reported in 7 publications, however, these were consecutive annual reports from the same agency rather than unique citations. The other commonly reported quality metrics included the following: waitlist mortality (n = 6 publications), 19,24,27,31,33,35 patient satisfaction (n = 5 publications), 24,30,35,47,48 the wait time from initial evaluation to final disposition (n = 5 publications), [18][19][20][21][22] in-hospital mortality (n = 4 publications), 45,46,51,52 acute graft rejection (n = 4 publications), 39,42,51,52 and infections (n = 4 publications). 24,25,42,51 Types of Quality Metrics…”

Section: Frequency Of Metric Reportingmentioning

confidence: 99%

Quality Metrics in Solid Organ Transplantation

et al. 2018

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More than 300 quality metrics have been reported in transplantation but many lacked details on development and selection, were poorly defined, or had inconsistent definitions. Measures have focused on safety and effectiveness with very few addressing other quality domains, such as equity and patient-centeredness. Future research will need to focus on transparent and objective metric development with proper testing, evaluation, and implementation in practice. Patients will need to be involved to ensure that transplantation quality metrics measure what is important to them.

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Section: Frequency Of Metric Reportingmentioning

confidence: 99%

Quality Metrics in Solid Organ Transplantation

et al. 2018

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“…This approach is known to be biased since the very early research on PQC assessment, in the sense that “ satisfaction scores may be falsely high, since most patients do not wish to give negative answers, or falsely low, since some patients are dissatisfied with life in general ” [ 48 ]. Nevertheless, the direct approach is still widely used and is a part of a routinely assessment in most Health Care facilities, both in Europe [ 14 , 49 ] and in USA [ 50 ]. In the current survey, the dramatically low estimates of patients’ dissatisfaction rates as obtained with the CRO direct approach are most likely to be attributable to a bias in patients’ responses.…”

Section: Discussionmentioning

confidence: 99%

A Social Network Approach to the Estimation of Perceived Quality of Health Care

Carletti

Soriani

Mattiazzi

et al. 2017

TONURSJ

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Background:Measuring service quality aids health care providers to recognize specific and unmet needs of patients. Nevertheless, perceived quality of health care services (PQC) is often investigated with inadequate techniques which may lead to biased results.Objective:The aim of the present study is to develop a proof-of-concept for estimating the PQC using the scale-up estimator, with reference to a concrete assessment in patients of a major Oncology Hospital in Veneto (IOV). Results have then been compared with those collected by the Customer Relations Office (CRO) after the annual survey conducted with traditional questionnaire based techniques.Material and Methods:Seven hundred and eighty-three sets consisting of two questionnaires were handed out to IOV patients between 26 and 28 November 2012. The first questionnaire was the CRO annual one composed by 15 direct questions about the perception of quality satisfaction rate using a Likert scale. The second questionnaire was the scale-up (NSUM) one, composed by 20 indirect questions, 5 of which were reproducing the main target of CRO for estimating PQC.Results:The comparisons made over 299 sets of questionnaires showed differences between the two techniques. Network Scale-Up Method (NSUM) questionnaire seems to be able to produce lower estimates of PQC with respect to the CRO annual questionnaire. In some cases, the NSUM showed dissatisfaction rates which are 20-fold higher respect to CRO.Conclusion:NSUM could be a promising method for assessing the perceived quality of care.

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